fix/Speechrecognition-App

SpeechRecognition/README.md

@@ -8,9 +8,9 @@ In this demo app, we'll show how to quantize, trace, and optimize the wav2vec2 m
 
 ## Prerequisites
 
-* PyTorch 1.10.0 and torchaudio 0.10.0 (Optional)
+* PyTorch 1.13.0 and torchaudio 0.14.0 (Optional)
 * Python 3.8 (Optional)
-* Android Pytorch library org.pytorch:pytorch_android_lite:1.10.0
+* Android Pytorch library org.pytorch:pytorch_android_lite:1.13.0
 * Android Studio 4.0.1 or later
 
 ## Quick Start
@@ -24,19 +24,19 @@ git clone https://github.com/pytorch/android-demo-app
 cd android-demo-app/SpeechRecognition
 ```
 
-If you don't have PyTorch 1.10.0 and torchaudio 0.10.0 installed or want to have a quick try of the demo app, you can download the quantized scripted wav2vec2 model file [here](https://drive.google.com/file/d/1xMh-BZMSIeoohBfZvQFYcemmh5zUn_gh/view?usp=sharing), then drag and drop it to the `app/src/main/assets` folder inside  `android-demo-app/SpeechRecognition`, and continue to Step 3.
+If you don't have PyTorch 1.13.0 and torchaudio 0.14.0 installed or want to have a quick try of the demo app, you can download the quantized scripted wav2vec2 model file [here](https://drive.google.com/file/d/1xMh-BZMSIeoohBfZvQFYcemmh5zUn_gh/view?usp=sharing), then drag and drop it to the `app/src/main/assets` folder inside  `android-demo-app/SpeechRecognition`, and continue to Step 3.
 
 ### 2. Prepare the Model
 
-To install PyTorch 1.10.0, torchaudio 0.10.0 and the Hugging Face transformers, you can do something like this:
+To install PyTorch 1.13.0, torchaudio 0.14.0 and the Hugging Face transformers, you can do something like this:
 
 ```
 conda create -n wav2vec2 python=3.8.5
 conda activate wav2vec2
 pip install torch torchaudio transformers
 ```
 
-Now with PyTorch 1.10.0 and torchaudio 0.10.0 installed, run the following commands on a Terminal:
+Now with PyTorch 1.13.0 and torchaudio 0.14.0 installed, run the following commands on a Terminal:
 
 ```
 python create_wav2vec2.py

SpeechRecognition/app/build.gradle

@@ -8,13 +8,13 @@ repositories {
 }
 
 android {
-    compileSdkVersion 30
+    compileSdkVersion 33
     buildToolsVersion "30.0.2"
 
     defaultConfig {
         applicationId "org.pytorch.demo.speechrecognition"
         minSdkVersion 28
-        targetSdkVersion 30
+        targetSdkVersion 33
         versionCode 1
         versionName "1.0"
 
@@ -40,5 +40,11 @@ dependencies {
     androidTestImplementation 'androidx.test.ext:junit:1.1.2'
     androidTestImplementation 'androidx.test.espresso:espresso-core:3.3.0'
 
-    implementation 'org.pytorch:pytorch_android_lite:1.10.0'
+    implementation 'org.pytorch:pytorch_android_lite:1.13.0'
+
+    implementation 'com.facebook.fbjni:fbjni-java-only:0.0.3'
+
+    // if using the libraries built from source
+    // implementation(name:'pytorch_android-release', ext:'aar')
+    // implementation(name:'pytorch_android_torchvision-release', ext:'aar')
 }

SpeechRecognition/app/src/main/AndroidManifest.xml

@@ -11,7 +11,8 @@
         android:roundIcon="@mipmap/ic_launcher_round"
         android:supportsRtl="true"
         android:theme="@style/AppTheme">
-        <activity android:name=".MainActivity">
+        <activity android:name=".MainActivity"
+            android:exported="true">
             <intent-filter>
                 <action android:name="android.intent.action.MAIN" />
 

SpeechRecognition/build.gradle

@@ -16,6 +16,10 @@ allprojects {
     repositories {
         google()
         jcenter()
+        mavenCentral()
+        flatDir {
+            dirs 'libs'
+        }
     }
 }